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Challenges and lessons learned from a long-term postauthorisation safety study programme of rivaroxaban in Europe.

Gunnar BrobertAna RuigomezCristina RebordosaAnnemarie VossRon M C HeringsElisabeth SmitsKarin M A SwartLeif FribergYanina BalabanovaChristine TarenzKiliana Suzart-WoischnikMontse Soriano GabarróPareen VoraMartin HomeringTomasz DyszynskiGerd NagelPablo AmayaLuis Alberto García-Rodríguez
Published in: BMJ open (2024)
We advocate the following strategies to help address these major challenges (should they arise in any future PASS): conducting studies based on a common data model that enable the same analytical tools to be applied when using different databases; maintaining early, clear, continuous communication with the regulator (including discussing the potential benefit of studying drug use as a precursor to planning a safety study); consideration of adaptive designs whenever uncertainty exists and following an initial period of data collection; and setting milestones for the review of study objectives.
Keyphrases
  • big data
  • randomized controlled trial
  • mass spectrometry
  • transcription factor
  • deep learning
  • artificial intelligence
  • current status